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Title:Identifying key risks for nonfinancial companies
Authors:ID Jagrič, Timotej (Author)
ID Grbenic, Stefan Otto (Author)
ID Herman, Aljaž (Author)
ID Galun, Maša (Author)
Files:.pdf RAZ_Jagric_Timotej_2025.pdf (1,06 MB)
MD5: 9FF5A5FA5E81EC14D769A153D698B043
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:EPF - Faculty of Business and Economics
Abstract:This month’s edition of the IFAI Global Risk Radar offers a comprehensive assessment of global risk signals, derived from news sources worldwide and IFAI’s expanded taxonomy of financial, operational, environmental, market, geopolitical, and systemic risks. The analysis indicates a marked divergence among risk groups, with customer-facing risks, organisational culture, and operational disruptions exhibiting elevated Risk Frequency Indicators, while environment-related and ESG-linked risks remain in a cooling phase. At the individual-risk level, corruption and fraud, change-management failures, and water-supply crises show the strongest upward deviations relative to historical patterns, reffecting a broader global environment characterised by governance concerns, infrastructure fragilities, and climate-related stress. Several high-frequency indicators display co-movements that align with recent geopolitical escalation, heightened market volatility, and tightening financial conditions in multiple regions. These findings align with recent international policy reports that document persistent inffationary pressures (IMF, 2025), governance-related vulnerabilities (OECD, 2025a), and rising political instability in several emerging markets (World Bank, 2025). For companies, the implications are substantial: a combination of structural shocks, rapid shifts in investor sentiment, and intensifying supply-chain fragility requires a more adaptive and data-driven risk management approach.
Keywords:risk register, AI detection risk model, high frequencies analysis
Publication version:Version of Record
Publication date:25.11.2025
Year of publishing:2025
Number of pages:str. 3-12
Numbering:Letn. 1, št. 1
PID:20.500.12556/DKUM-96253 New window
UDC:004.8
ISSN on article:3024-0883
COBISS.SI-ID:261202947 New window
Publication date in DKUM:12.12.2025
Views:148
Downloads:11
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:IFAI global risk radar
Publisher:Institute of Finance and Artificial Intelligence, University of Maribor
ISSN:3024-0883
COBISS.SI-ID:259314179 New window

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License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

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